# ECE 303: Introduction to Real-time Digital Signal Processing | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ECE_303) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 19a661c0a11e0e092658e19acda3372d8ac39ffa5950cecdb7fc705e64bfbcd6 ### course id ECE 303 ### course uid course\_0c466504ac49527057985d1d ### catalog version id 9e372b286bfee0235d92a2b702f3346ef8ee7e4cc9518e079304927fafa2461b ### course number 303 ### subjects * ECE ### title INTRODUCTION TO REAL-TIME DIGITAL SIGNAL PROCESSING ### description Emphasizes the implementation of DSP algorithms on a digital signal processor in "real-time." Many of the signal processing algorithms that were used inE C E 203will be reviewed in MATLAB and then will be implemented on a floating point signal processor in "real-time" using the C programming language. Explore many basic digital signal processing processes in real-time. Gain the ability to create and develop your own Digital Signal Processing projects for a modern digital signal precessor using an Integrated Development Environment. Lab hardware will be provided. ### requirements text E C E 203or member of Engineering Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 82eb34e82f40e5b19fe59306c5850f5046353604f246f1f9da03682ce1b28214 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ECE 303 introduces real-time digital signal processing, focusing on implementing DSP algorithms on hardware using C and MATLAB. ### llm topics * Real-time digital signal processing processes and floating-point implementation. ### llm skills * Implementing DSP algorithms in real-time using C and IDEs. ### llm assumed background * Fundamentals of signals, information, and computational techniques in electrical engineering. ### llm search phrases * real-time DSP implementation * digital signal processor C programming * MATLAB signal processing review * floating point signal processor lab ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 88b9f149cc1a53670cc96e0f925546a071241dbe2927bb3d1553759889dbeeaf #### course id ECE 303 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.68 GPA, 85.7% A/AB (n=49 letter grades); Fall 2024: 3.78 GPA, 91.2% A/AB (n=34 letter grades); Spring 2025: 3.79 GPA, 100.0% A/AB (n=47 letter grades). ```json { "citations": [ { "course_id": "ECE 303", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "eb48b12b-14cb-36d3-9d74-fdcf9e939097", "file": 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3.751, "graded": 10331, "counts": [ 7490, 1556, 788, 227, 188, 34, 48 ], "sections": 515 }, "instructor_url": "/instructors/MARK_ALLIE--instructor_cd48cdaa62d28f08ff7f95e0" }, { "instructor_uid": "instructor_2dcada5dab7d2711b5c8449e", "source": "madgrades", "source_instructor_id": "5700726", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HAOYU CHENG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.858, "graded": 106, "counts": [ 79, 24, 3, 0, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/HAOYU_CHENG--instructor_2dcada5dab7d2711b5c8449e" }, { "instructor_uid": "instructor_a84737d8b4f0ca0e16470b0a", "source": "madgrades", "source_instructor_id": "6425827", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MINGCONG CAO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", 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"source_aliases": [ "ECE 303" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECE 303", "course_uid": "course_0c466504ac49527057985d1d", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Mark Allie" ], "a": 21, "ab": 4, "b": 7, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 33, "source_aliases": [ "ECE 303" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECE 303", "course_uid": "course_0c466504ac49527057985d1d", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Mark Allie" ], "a": 27, "ab": 11, "b": 10, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "ECE 303" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECE 303", "course_uid": "course_0c466504ac49527057985d1d", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Mark Allie" ], "a": 16, "ab": 11, "b": 4, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 33, "source_aliases": [ "ECE 303" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECE 303", "course_uid": "course_0c466504ac49527057985d1d", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Mark Allie" ], "a": 25, "ab": 17, "b": 7, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "ECE 303" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECE 303", "course_uid": "course_0c466504ac49527057985d1d", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "MINGCONG CAO", "Mark Allie", "YU HUANG" ], "a": 22, "ab": 9, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "ECE 303" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECE 303", "course_uid": "course_0c466504ac49527057985d1d", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Mark Allie" ], "a": 27, "ab": 20, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "ECE 303" ] } ] ``` ### statistics #### gpa 3.777 #### graded 566 #### counts * 379 * 130 * 52 * 3 * 1 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0c466504ac49527057985d1d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0c466504ac49527057985d1d-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0c466504ac49527057985d1d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0c466504ac49527057985d1d-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0c466504ac49527057985d1d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0c466504ac49527057985d1d-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7765017667844525 #### count 566 #### university ##### size 4979 ##### gpa Percentile 54 ##### count Percentile 80 ##### median Count 166 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 298 | false | | 3.2–3.6 | 1304 | false | | 3.6–4.0 | 3367 | true | #### departments ```json [ { "subject": "ECE", "comparison": { "size": 123, "gpaPercentile": 73, "countPercentile": 73, "medianCount": 199, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 46, "current": false }, { "range": "3.6–4.0", "count": 71, "current": true } ] } } ] ``` ### terms #### 1164 ##### term 1164 ##### gpa 3.861111111111111 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | ECE | | #### 1172 ##### term 1172 ##### gpa 3.9166666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | ECE | | #### 1174 ##### term 1174 ##### gpa 3.9444444444444446 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | ECE | | #### 1182 ##### term 1182 ##### gpa 4 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | ECE | | #### 1184 ##### term 1184 ##### gpa 4 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | ECE | | #### 1192 ##### term 1192 ##### gpa 3.7222222222222223 ##### count 36 ##### university ###### size 1077 ###### gpa Percentile 68 ###### count Percentile 11 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 38, "gpaPercentile": 81, "countPercentile": 11, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.875 ##### count 32 ##### university ###### size 1040 ###### gpa Percentile 83 ###### count Percentile 4 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 36, "gpaPercentile": 86, "countPercentile": 0, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.903225806451613 ##### count 31 ##### university ###### size 1102 ###### gpa Percentile 88 ###### count Percentile 3 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 37, "gpaPercentile": 92, "countPercentile": 6, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.813953488372093 ##### count 43 ##### university ###### size 1012 ###### gpa Percentile 60 ###### count Percentile 27 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 34, "gpaPercentile": 64, "countPercentile": 3, "medianCount": 73.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.803030303030303 ##### count 33 ##### university ###### size 1111 ###### gpa Percentile 69 ###### count Percentile 7 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 83, "countPercentile": 8, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.803030303030303 ##### count 33 ##### university ###### size 1157 ###### gpa Percentile 71 ###### count Percentile 8 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 78, "countPercentile": 3, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.611111111111111 ##### count 36 ##### university ###### size 1171 ###### gpa Percentile 48 ###### count Percentile 14 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 43, "gpaPercentile": 60, "countPercentile": 14, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.71875 ##### count 32 ##### university ###### size 1216 ###### gpa Percentile 60 ###### count Percentile 6 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 44, "gpaPercentile": 74, "countPercentile": 2, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.6770833333333335 ##### count 48 ##### university ###### size 1188 ###### gpa Percentile 53 ###### count Percentile 33 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 75, "countPercentile": 18, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 22, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.621212121212121 ##### count 33 ##### university ###### size 1295 ###### gpa Percentile 46 ###### count Percentile 9 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 41, "gpaPercentile": 65, "countPercentile": 8, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.683673469387755 ##### count 49 ##### university ###### size 1241 ###### gpa Percentile 54 ###### count Percentile 35 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 38, "gpaPercentile": 65, "countPercentile": 19, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.7794117647058822 ##### count 34 ##### university ###### size 1333 ###### gpa Percentile 63 ###### count Percentile 10 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 44, "gpaPercentile": 70, "countPercentile": 12, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 23, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.7872340425531914 ##### count 47 ##### university ###### size 1289 ###### gpa Percentile 65 ###### count Percentile 31 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "ECE", "comparison": { "size": 40, "gpaPercentile": 79, "countPercentile": 15, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4979 ###### gpa 3.686934123606603 ###### top Share 83.52733798078684 ###### count 166 ##### ECE ###### size 123 ###### gpa 3.6150626415619223 ###### top Share 79.59598319120121 ###### count 199 #### terms ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### ECE ###### size 32 ###### gpa 3.3387002225789923 ###### top Share 63.627072447149246 ###### count 83.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### ECE ###### size 35 ###### gpa 3.3883507843058354 ###### top Share 63.7905998393372 ###### count 72 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### ECE ###### size 32 ###### gpa 3.4125499296052797 ###### top Share 66.90263468847662 ###### count 85 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### ECE ###### size 40 ###### gpa 3.456923604087721 ###### top Share 68.99771043518125 ###### count 63 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### ECE ###### size 34 ###### gpa 3.4797837203421706 ###### top Share 70.14653057475711 ###### count 84.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### ECE ###### size 38 ###### gpa 3.447533461703932 ###### top Share 70.3070826404184 ###### count 77 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### ECE ###### size 36 ###### gpa 3.5139370942069434 ###### top Share 73.58293880609176 ###### count 77 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### ECE ###### size 37 ###### gpa 3.4499953407109865 ###### top Share 70.66752329901533 ###### count 78 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### ECE ###### size 34 ###### gpa 3.7346193271517083 ###### top Share 86.80502962000203 ###### count 73.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### ECE ###### size 41 ###### gpa 3.5390420098740205 ###### top Share 74.4144228117487 ###### count 66 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### ECE ###### size 41 ###### gpa 3.502469130958549 ###### top Share 72.06914460291064 ###### count 70 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### ECE ###### size 43 ###### gpa 3.493101515836076 ###### top Share 71.87667215876023 ###### count 78 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### ECE ###### size 44 ###### gpa 3.4583903966894223 ###### top Share 70.01102622146537 ###### count 70 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ECE ###### size 41 ###### gpa 3.521247893399985 ###### top Share 73.18909826442149 ###### count 70 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### ECE ###### size 41 ###### gpa 3.4916867437115484 ###### top Share 71.95296745580877 ###### count 83 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### ECE ###### size 38 ###### gpa 3.554019248602149 ###### top Share 75.22296238620345 ###### count 83.5 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### ECE ###### size 44 ###### gpa 3.5595929340853747 ###### top Share 76.26079811550397 ###### count 74 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### ECE ###### size 40 ###### gpa 3.5198762319632855 ###### top Share 74.0918065550377 ###### count 87.5 ## instructor Trends ```json [ { "uid": "instructor_cd48cdaa62d28f08ff7f95e0", "name": "MARK ALLIE", "count": 566, "terms": [ { "term": "1164", "count": 18, "sections": 1, "gpa": 3.861111111111111 }, { "term": "1172", "count": 12, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1174", "count": 18, "sections": 1, "gpa": 3.9444444444444446 }, { "term": "1182", "count": 16, "sections": 1, "gpa": 4 }, { "term": "1184", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 36, "sections": 2, "gpa": 3.7222222222222223 }, { "term": "1194", "count": 32, "sections": 2, "gpa": 3.875 }, { "term": "1202", "count": 31, "sections": 2, "gpa": 3.903225806451613 }, { "term": "1204", "count": 43, "sections": 2, "gpa": 3.813953488372093 }, { "term": "1212", "count": 33, "sections": 2, "gpa": 3.803030303030303 }, { "term": "1222", "count": 33, "sections": 2, "gpa": 3.803030303030303 }, { "term": "1224", "count": 36, "sections": 2, "gpa": 3.611111111111111 }, { "term": "1232", "count": 32, "sections": 2, "gpa": 3.71875 }, { "term": "1234", "count": 48, "sections": 3, "gpa": 3.6770833333333335 }, { "term": "1242", "count": 33, "sections": 2, "gpa": 3.621212121212121 }, { "term": "1244", "count": 49, "sections": 3, "gpa": 3.683673469387755 }, { "term": "1252", "count": 34, "sections": 2, "gpa": 3.7794117647058822 }, { "term": "1254", "count": 47, "sections": 3, "gpa": 3.7872340425531914 } ] }, { "uid": "instructor_2dcada5dab7d2711b5c8449e", "name": "HAOYU CHENG", "count": 106, "terms": [ { "term": "1194", "count": 32, "sections": 2, "gpa": 3.875 }, { "term": "1202", "count": 31, "sections": 2, "gpa": 3.903225806451613 }, { "term": "1204", "count": 43, "sections": 2, "gpa": 3.813953488372093 } ] }, { "uid": "instructor_a84737d8b4f0ca0e16470b0a", "name": "MINGCONG CAO", "count": 18, "terms": [ { "term": "1252", "count": 18, "sections": 1, "gpa": 3.8333333333333335 } ] }, { "uid": "instructor_e011a162feaaac9cd6574356", "name": "YU HUANG", "count": 16, "terms": [ { "term": "1252", "count": 16, "sections": 1, "gpa": 3.71875 } ] } ] ``` ## following | code | title | | ------- | ------------------------------------------------------ | | ECE 455 | CAPSTONE DESIGN IN ELECTRICAL AND COMPUTER ENGINEERING |